Readynez Talent: Microsoft Professional Program for Data Science

About our Talent Services

You want new efficiencies, new opportunities and growth from technology, and you will need skills to get them. With Readynez Talent Services you will answer real and burning business challenges. No wonder we’ve been awarded the Microsoft Learning Partner of the year global finalist award for helping businesses transform and achieve remarkable results.

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I’m an opportunity Leader looking for talent

I’m an ambitious graduate looking for an exciting career

The Programme
The Readynez Talent Microsoft Data Science Professional programme is a completely new way of closing the skills gap. It´s a complete Training programme designed specifically to get you a highly skilled Data Scientist ready to add value with knowledge – in no time and without any hassle.

Grow your business with a Data Science Talent candidate
Readynez Talent Data Science candidates challenge habits, push innovation into cultures and discover new solutions. They are ambitious, committed and flexible and they support an attitude that fuels growth.

And don’t forget, your Readynez Talent programme is all inclusive. We’ll recruit the perfect candidate for you. We’ll train your new employee into a highly skilled, fully-productive and value-adding Data Scientist in no time. Plus we´ll give you the tools you´ll need for a seamless and successful retention process of the candidates. Or, if you already have a candidate in mind, they´re more than welcome to join the training programme as well.

Programme summary

Price

DKK 74.900 excl. VAT

Duration

3-5 months

PROGRAM OVERVIEW

In just a few months, this programme will train your Academy candidate into a certified and fully productive IT professional, ready to create value for your customers and your business. These are the components of the training programme:

Module 1 - Data Science Professional - Fundamentals

During this first module, we´ll train your candidates in all the fundamental tools and terminologies, that will enable them to progress to the more advanced modules.

Data Science Orientation

Get started on your data science journey, as you learn what it takes to become a Data Scientist. Learn to work with and explore data using a variety of visualization, analytical, and statistical techniques.

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Type

Online Course

Duration

12-24 Hours

Certification

Verified Certificate

Learn what it takes to become a data scientist.

This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.

What you'll learn

  • How the Microsoft Data Science curriculum works
  • How to navigate the curriculum and plan your course schedule
  • Basic data exploration and visualization techniques in Microsoft Excel
  • Foundational statistics that can be used to analyze data

 

 

Querying Data with Transact-SQL

From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need.

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Type

Online Course

Duration

24-30 Hours

Certification

Verified Certificate

Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.

Work through multiple modules, each of which explore a key area of the Transact-SQL language, with a focus on querying and modifying data in Microsoft SQL Server or Azure SQL Database. The labs in this course use a sample database that can be deployed easily in Azure SQL Database, so you get hands-on experience with Transact-SQL without installing or configuring a database server.

What you'll learn

  • Create Transact-SQL SELECT queries
  • Work with data types and NULL
  • Query multiple tables with JOIN
  • Explore set operators
  • Use functions and aggregate data
  • Work with subqueries and APPLY
  • Use table expressions
  • Group sets and pivot data
  • Modify data
  • Program with Transact-SQL
  • Implement error handling and transactions

 

Analyzing Data - More options available

Choose between below options. All options will earn you the certification

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Option 1

Analyzing and Visualizing Data with Excel

Explore tools in Excel that enable the analysis of more data than ever before, with improved visualizations and more sophisticated business logic. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis.

Option 2

Analyzing and Visualizing Data with Power BI

Learn how to connect and visualize your data with Microsoft Power BI. Find out how to import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Create dashboards and share with business users on the web and on mobile devices.

Type

Online Course

Duration

12-24 Hours

Certification

Verified Certificate

Type

Online Course

Duration

12-24 Hours

Certification

Verified Certificate

Essential Statistics for Data Analysis using Excel

As a data science pro, the ability to analyze data helps you to make better decisions, and a solid foundation in statistics and basic probability helps you to better understand your data.

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Type

Online Course

Duration

12-24 Hours

Certification

Verified Certificate

If you’re considering a career as a data analyst, you need to know about histograms, Pareto charts, Boxplots, Bayes’ theorem, and much more.

Learn about descriptive statistics, basic probability, random variables, sampling and confidence intervals, and hypothesis testing.

What you'll learn

  • Descriptive statistics
  • Basic probability
  • Random variables
  • Sampling and confidence intervals
  • Hypothesis testing

 

Data Science Professional - Fundamentals

During this Instructor led module your candidates will train with a expert instructor, who will teach them the practical application of what they learned during their online training. This will ensure maximal knowledge retention and their ability to use their newly acquired skills in a practical work environment.

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Type

Instructor led training

Duration

3 days

The data that you need to analyze is stored on a SQL Server either on premise or in the cloud. What tools does Microsoft offer to help make that analysis faster, more complete? In the first portion we will be exploring creating models in Analysis Services or objects in Management Studios that can be used to make your data analysis more efficient and complete. 

 

Module 2 - Data Science Professional - Core Data Science

During the second module, we´re moving on to learn about R, the statistical language of choice for data science professionals, and machine learning theory and models.

Explore data with Code - More options Available

Choose between below options. All options will earn you the certification

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Option 1

Introduction to R for Data Science

Learn the R statistical programming language, the tool of choice for data science professionals. Discover its basic syntax, starting with variables and basic operations, and then learn how to handle data structures, such as vectors, matrices, data frames, and lists.

Option 2

Introduction to Python for Data Science

Learn the basics of Python, including simple arithmetic operations, variables, and data structures. Explore Python functions and control flow, and create your own visualizations based on real data.

Type

Online Course

Duration

8-12 Hours

Certification

Verified Certificate

Type

Online Course

Duration

12-24 Hours

Certification

Verified Certificate

Data Science Essentials

Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts.

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Type

Online Course

Duration

18-24 Hours

Certification

Verified Certificate

Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from Duke University and Microsoft.

What you'll learn

  • Explore the data science process
  • Probability and statistics in data science
  • Data exploration and visualization
  • Data ingestion, cleansing, and transformation
  • Introduction to machine learning
  • The hands-on elements of this course leverage a combination of R, Python, and Microsoft Azure Machine Learning

 

Principles of Machine Learning

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

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Type

Online Course

Duration

18-24 Hours

Certification

Verified Certificate

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models.

What you'll learn

  • Explore classification
  • Regression in machine learning
  • How to improve supervised models
  • Details on non-linear modeling
  • Clustering
  • Recommender systems
  • The hands-on elements of this course leverage a combination of R, Python, and Microsoft Azure Machine Learning

 

 

Data Science Professional - Core Data Science

Revisiting the concepts from the online training, this hands-on and expert-led training will reinforce the knowledge and skills gained to help your candidates leverage data science in the real world.

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Type

Instructor led training

Duration

3 days

During this instructor-led three day course, we'll cover in a practical way the fundamentals of data science. Starting with programming in key languages for data science, we then use these to code our way through the data science workflow. Once we understand the workflow as a whole, we'll drill into the most common types of models that we need to build in order to understand how they work and how you implement them.

Module 3 - Data Science Professional - Applied Data Science

During the third module, we´ll cover code languages to manipulate and model data and learn how to apply machine learning. We´ll also cover methods to implement predictive solutions.

Use Code to Manipulate and Model Data - More options available

Choose between below options. All options will earn you the certification

View Options

Option 1

Programming with R for Data Science

Get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data from a local file to a cloud-hosted database, work with data, get summaries, and transform them to fit your needs.

Option 2

Programming with Python for Data Science

Learn to use Python to apply efficient, well-known mining models to unearth useful intelligence. Explore data visualization, feature importance and selection, dimensionality reduction, clustering, classification, and more.

Type

Online Course

Duration

24-48 Hours

Certification

Verified Certificate

Type

Online Course

Duration

18-24 Hours

Certification

Verified Certificate

Applied Machine Learning

Learn how to apply machine learning to solve common predictive problems, including text analytics, spatial data analysis, image processing, and time series forecasting.

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Type

Online Course

Duration

18-24 Hours

Certification

Verified Certificate

In this data science course, you will explore the theory and practice of select advanced methods commonly used in data science.

In the first two modules, you will learn about common applications of specialized data types. Then, in the remaining two modules, you will focus on unstructured data. You will work with tools such as R, Python, and Azure Machine Learning to solve advanced data science problems.

 What you'll learn

  • Explore analysis of time series and forecasting
  • Take a look at spatial data analysis
  • Learn about text analytics
  • Review analysis of images

 

Implementing Predictive Solutions with Spark in HDInsight

Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Find out how to cleanse and transform data, build machine learning models, and create real-time machine learning solutions using Python, Scala, and R with Apache Spark.

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Type

Online Course

Duration

18-24 Hours

Certification

Verified Certificate

Are you ready for big data science? In this course, learn how to implement predictive analytics solutions for big data using Apache Spark in Microsoft Azure HDInsight. See how to work with Scala or Python to cleanse and transform data and build machine learning models with Spark ML (the machine learning library in Spark).

What you'll learn

  • Using Spark to explore data and prepare for modeling
  • Build supervised machine learning models
  • Evaluate and optimize models
  • Build recommenders and unsupervised machine learning models

 

 

Data Science Professional - Applied Data Science

Revisiting the concepts from the online training, this hands-on and expert-led training will reinforce the knowledge and skills gained to help your candidates leverage data science in the real world.

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Type

Instructor led training

Duration

3 days

During this instructor-led three day course, we'll look at machine learning and how to get the models you build within your data science workflow into production. We start with boosting the programming skills that you gained in the previous module. We then use these skills to look at some applications of machine learning such as image analysis to extend your knowledge of important data science techniques. This gets capped off with operationalising your models by building and hosting at scale with Spark and surfacing models through bots.

Module 4 - Value Creating Consultant

During the fourth module, we´ll train your candidates in the commercial and personal skills, that are central for a skilled consultant and IT expert.

Value Creating Consultant

In this module your candidates will learn the commercial and personal skills that will be invaluable when meeting customers and internal stakeholders and teammates as well.

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Type

Instructor led training

Duration

2 days

During the Value Creating Consultant module, your candidates will learn the most relevant and up to date best practice commercial insights, that will enable them to understand the business process mechanisms including: Buying processes, sales processes, how organizations buy etc. This insight will enable them to understand how businesses work, and they´ll learn the latest tools, methods and techniques that will support them when they interact with customers in their daily business. The course is highly interactive, with 40-50% of the time being spent on practical application and role playing, peer review etc.

 

Module 5 - Final Capstone Project

Module five is the final project where your candidates get to apply all the knowledge and skills, that they´ve acquired during their training programme.

Final Capstone Project

Solve a real-world data science problem in this capstone project for the Microsoft Professional Program in Data Science

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Type

Final Project

Duration

12-16 Hours

Certification

Microsoft Professional Program Certificate in Data Science

Showcase the knowledge and skills you’ve acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project.

The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade.

"Do not be so nervous to jump into it, it takes time and it is a long term investment in yourself, but it's worth it. I have unlimited opportunities in my career now, and the future looks very exciting."

a-solutions

Mads Svendsen - AX-consultant

"I think that the vast majority of higher education has processed data in databases or coded a bit, as part of their training, so the step to an IT career is probably less than you think."

KMD

Toke Fogh - IT-developer

"It simply builds a bridge between being a student and getting out into the labor market and start to contribute value to a business."

KMD

Thea Renneberg - IT-developer

Still looking?

Our Facts

200+

Courses

With us you´ll find 200+ accelerated course- and certification programmes and we can train talent in every single one. Whatever your chosen technology; we´ll create your experts.

70%

Billable hours

Readynez Candidates are quickly ready to deliver value. Within a year the candidates are, on average, billing 70% or more of their time to customers.

97%

Stay in their first job

We´ve currently recruited and trained more than 300 candidates and when we asked them after two years of employment, 97% of them had stayed on with the original employer.

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